DIMACS/CCICADA Workshop on Data Quality Metrics

February 3 - 4, 2011
DIMACS Center, CoRE Building, Rutgers University

Organizers:
Tamraparni Dasu, AT & T Research, tamr at research.att.com
Lukasz Golab, AT & T Research, lgolab at research.att.com
Presented under the auspices of The Homeland Security Center for Command, Control, and Interoperability Center for Advanced Data Analysis (CCICADA).

Workshop Program:


Thursday, February 3, 2011

10:00 - 10:30  Breakfast and Registration

10:30 - 11:00  Welcome and Opening Remarks
               Midge Cozzens, CCICADA - Rutgers Education Director

11:00 - 12:00  Statistics Keynote Talk
               What Can Research on Data Confidentiality Teach Us about Data Quality?
               Alan F. Karr National Institute of Statistical Sciences

12:15 -  2:00  Lunch

 2:00 -  3:00  Invited Talk 
               Views, Issues and Illustrative Results on Data Quality and Information Utility
               Mike Wish, AT&T Labs Research

 3:15 -  3:30  Coffee 

 3:30 -  4:30  Invited Talk
               Collective Graph Identification
               Lise Getoor, University of Maryland, College Park

 5:00          Dinner

Friday, February 4, 2011

 9:30 - 10:00  Breakfast and Registration

10:00 - 11:00  Database Keynote Talk 
               Data Quality is Bad? Deal With It
               Dennis Shasha, Courant Institute of Mathematical Sciences

11:15 - 12:15  Invited Talk
               Understanding and improving propensity score methods
               Zhiqiang Tan, Rutgers University

12:30 -  2:00  Lunch

 2:00 -  3:00  Invited Talk
               Measuring data quality with Data Auditor
               Lukasz Golab, AT&T Labs

 3:15 -  3:30  Coffee

 3:30 -  4:30  Contributed Talk
               A Unified Model for Data and Constraint Repair
               Fei Chiang & Renee J. Miller

 4:45          Conclusion

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Document last modified on February 3, 2011.